Binary Perceptron Learning Algorithm Using Simplex-Method. - Vladimir Kryzhanovsky; Irina Zhelavskaya; Jakov Karandashev (ICAISC (1), 2012)

Vector Perceptron Learning Algorithm Using Linear Programming. - Vladimir Kryzhanovsky; Irina Zhelavskaya; Anatoly B. Fonarev (ICANN (2), 2012)

Two-Layer Vector Perceptron. - Vladimir Kryzhanovsky; Irina Zhelavskaya; Juan Antonio Clares Tomas (ICANN, 2013)

Error Probability for Scalar Neural Network Trees in High-Dimensional Binary Space. - Irina Zhelavskaya; Vladimir Kryzhanovsky; Magomed Malsagov (BICT, 2014)

Image processing for drawing recognition. - Rustem Feyzkhanov; Irina Zhelavskaya (IMAWM, 2014)

High-Dimensional Binary Pattern Classification by Scalar Neural Network Tree. - Vladimir Kryzhanovsky; Magomed Malsagov; Juan Antonio Clares Tomas; Irina Zhelavskaya (ICANN, 2014)

On Error Probability of Search in High-Dimensional Binary Space with Scalar Neural Network Tree. - Vladimir Kryzhanovsky; Magomed Malsagov; Juan Antonio Clares Tomas; Irina Zhelavskaya (IJCCI (NCTA), 2014)

Evolving Ocean Monitoring With GNSS-R: Promises in Surface Wind Speed and Prospects for Rain Detection. - Milad Asgarimehr; Valery U. Zavorotny; Irina Zhelavskaya; Giuseppe Foti; Jens Wickert; Sebastian Reich (IGARSS, 2019)

A GNSS-R Geophysical Model Function: Machine Learning for Wind Speed Retrievals. - Milad Asgarimehr; Irina Zhelavskaya; Giuseppe Foti; Sebastian Reich; Jens Wickert (IEEE Geosci. Remote. Sens. Lett., 2020)

Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization. - Vladimir Chikin; Kirill Solodskikh; Irina Zhelavskaya (ECCV (12), 2022)

Towards Accurate Network Quantization with Equivalent Smooth Regularizer. - Kirill Solodskikh; Vladimir Chikin; Ruslan Aydarkhanov; Dehua Song; Irina Zhelavskaya; Jiansheng Wei (ECCV (11), 2022)

Integral Neural Networks. - Kirill Solodskikh; Azim Kurbanov; Ruslan Aydarkhanov; Irina Zhelavskaya; Yury Parfenov; Dehua Song; Stamatios Lefkimmiatis (CVPR, 2023)

Towards Robust Full Low-Bit Quantization of Super Resolution Networks. - Denis Makhov; Ruslan Ostapets; Irina Zhelavskaya; Dehua Song; Kirill Solodskikh (ECCV (75), 2024)